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--- |
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license: apache-2.0 |
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base_model: microsoft/swin-tiny-patch4-window7-224 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: Garbage-Classification-SWIN-Transformer |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Garbage-Classification-SWIN-Transformer |
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0440 |
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- Accuracy: 0.9900 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 0.1969 | 0.9973 | 280 | 0.1740 | 0.9409 | |
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| 0.1014 | 1.9982 | 561 | 0.0752 | 0.9755 | |
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| 0.0333 | 2.9991 | 842 | 0.0551 | 0.9824 | |
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| 0.0332 | 4.0 | 1123 | 0.0526 | 0.9845 | |
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| 0.0218 | 4.9973 | 1403 | 0.0511 | 0.9866 | |
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| 0.0086 | 5.9982 | 1684 | 0.0515 | 0.9873 | |
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| 0.0057 | 6.9991 | 1965 | 0.0462 | 0.9875 | |
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| 0.0043 | 8.0 | 2246 | 0.0453 | 0.9891 | |
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| 0.0012 | 8.9973 | 2526 | 0.0460 | 0.9888 | |
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| 0.0017 | 9.9733 | 2800 | 0.0440 | 0.9900 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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